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Design of web-based fuzzy input expert system for the analysis of serology laboratory tests

Journal of Medical Systems · Ocak 2012

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YÖKSİS Kayıtları
Design of Web Based Fuzzy Input Expert System for the Analysis of Serology Laboratory Tests
Journal of Medical Systems · 2012 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 14 kaydı bulundu.

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Design of Web Based Fuzzy Input Expert System for the Analysis of Serology Laboratory Tests
2012 ISSN: 0148-5598 SCI-Expanded
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2014 ISSN: 0148-5598 SCI-Expanded Q2
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An Artificial Neural Network Classification Approach for use the Ultrasound in Physiotherapy
2011 ISSN: 0148-5598 SCI-Expanded
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2010 ISSN: 0148-5598 SCI-Expanded 2 atıf
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2018 ISSN: 0148-5598 SCI-Expanded
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Makale Bilgileri

Dergi Journal of Medical Systems
ISSN01485598
Yayın TarihiOcak 2012
Cilt / Sayfa36 · 2187-2191
DOI10.1007/s10916-011-9684-3
Scopus ID2-s2.0-84873042981
Özet In this study, it is aimed, using the Web-based Expert System with Fuzzy Input (WESFI), to convert the patients' (users') Serology Laboratory Tests (SLT) results to linguistic statements (low, normal, high) and analyzing those, give a feedback to the user (patient) of the potential signs of disease. The feedbacks given to the patients are the existing interpretations in the database, which were prepared by doctors before. Furthermore, the SLT terms (Brucella Coombs, Ama, P-Protein etc.) are explained in a way that the user can understand. The WESFI is published with an interface on the web environment. In order to determine the rate of the success of the WESFI, users evaluated the system answering the "How do you find the evaluation?" question. The question has been answered by 461 users. As a result it is observed that 90% of female users, 92% of male users and 91% of all users found the system useful. © 2011 Springer Science+Business Media, LLC.

Yazarlar (2)

1
Fatih Başçiftçi
2
Hayri İncekara

Anahtar Kelimeler

Expert system Fuzzy input Laboratory tests Medical examination Serology

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Journal of Medical Systems
Q1
SJR Skoru0,962
H-Index120
YayıncıSpringer New York
ÜlkeUnited States
Information Systems (Q1)
Medicine (miscellaneous) (Q1)
Health Informatics (Q2)
Health Information Management (Q2)
Dergi sayfasına git

Metrikler

6
Atıf
2
Yazar
5
Anahtar Kelime

Sistemimizdeki Yazarlar

FB
FATİH BAŞÇİFTÇİ
Prof. Dr.

Hızlı Erişim

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